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Introduction to Computational Optimization Models for Production Planning in a Supply Chain

  • Book
  • © 2006

Overview

Authors:
  1. Stefan Voß

    1. Institut für Wirtschaftsinformatik, Universität Hamburg, Hamburg, Germany

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  2. David L. Woodruff

    1. Graduate School of Management, UC Davis, Davis, USA

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    You can also search for this author in PubMed   Google Scholar

  • Provides an easy-to-follow introduction to the use of optimization techniques in production planning
  • Introduces sophisticated models for supply chain management
  • Includes a chapter presenting implementation of examples in popular modeling languages
  • This new edition is updated, and provides extensions
  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    Pages 1-6

  3. Optimization Modeling

    Pages 7-18

  4. Starting with an mrp Model

    Pages 19-29

  5. Extending to an MRP II Model

    Pages 31-43

  6. A Better Model

    Pages 45-57

  7. Extensions to the Model

    Pages 59-79

  8. Implementation Examples

    Pages 81-133

  9. Solutions

    Pages 135-161

  10. Some Stochastic Extensions

    Pages 163-185

  11. Research Directions and References

    Pages 187-232

  12. Back Matter

    Pages 233-257
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Keywords

About this book

provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors. In this book we strive to provide models that capture many of the - tails faced by ?rms operating in a modern supply chain, but we stop short of proposing models for economic analysis of the entire multi-player chain. In other words, we produce models that are useful for planning within a supply chain rather than models for planning the supply chain. The usefulness of the models is enhanced greatly by the fact that they have been implemented - ing computer modeling languages. Implementations are shown in Chapter 7, which allows solutions to be found using a computer. A reasonable question is: why write the book now? It is a combination of opportunities that have recently become available. The availability of mod- inglanguagesandcomputersthatprovidestheopportunitytomakepractical use of the models that we develop. Meanwhile, software companies are p- viding software for optimized production planning in a supply chain. The opportunity to make use of such software gives rise to a need to understand some of the issues in computational models for optimized planning. This is best done by considering simple models and examples.

Reviews

From the reviews of the second edition:

"This is the second edition of the popular book. … The book can be used for developing courses for business, management or industrial engineering students. Some developed models are useful not only for teaching purposes but can be immediately applied by practitioners. … This will be of special value to researchers and PhD students." (Vitaly A. Strusevich, Zentralblatt MATH, Vol. 1140, 2008)

Authors and Affiliations

  • Institut für Wirtschaftsinformatik, Universität Hamburg, Hamburg, Germany

    Stefan Voß

  • Graduate School of Management, UC Davis, Davis, USA

    David L. Woodruff

Bibliographic Information

  • Book Title: Introduction to Computational Optimization Models for Production Planning in a Supply Chain

  • Authors: Stefan Voß, David L. Woodruff

  • DOI: https://doi.org/10.1007/3-540-29879-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Business and Economics, Economics and Finance (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2006

  • Hardcover ISBN: 978-3-540-29878-6Published: 16 January 2006

  • Softcover ISBN: 978-3-642-06755-6Published: 14 October 2010

  • eBook ISBN: 978-3-540-29879-3Published: 20 March 2006

  • Edition Number: 2

  • Number of Pages: XII, 260

  • Topics: Econometrics, Operations Research/Decision Theory, Operations Management, IT in Business

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